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The 5 most hacked passwords

More than 23 million people were breached after using the password 123456, according to the UK's National Cyber Security Centre.

Additional TechRepublic resources

The 10 highest-paying cybersecurity jobs

Five ways the Rust programming language will get better in 2019

Why you should migrate to the Android Q Beta program

Major DDoS attacks increased 967% this year

How automated Dark Web marketplaces make credential stuffing attacks more profitable

Businesses hit with 235% more cyberthreats this year

Most SMBs would pay a hacker a ransom to get their stolen data back

Microsoft wants to kill Windows password expiration policy

Weaponization of vulnerabilities in Adobe products more than doubled in 2018

How a new manufacturing technique could create scalable quantum computers

Top 5 ways to get more women in your workforce

How to stop Microsoft from blocking the Windows 10 May 2019 Update on your PC

End of the line for Internet Explorer 10 might mean updating embedded systems

Why Linux stands out amongst other OSes

How to build a data science team

The 15 states with the most remote jobs

Diversity in tech: 5 recruiting and retention tips

How IT employees can lead the way in tech ethics and abuse prevention

The top 10 reasons employees decide to freelance full time

How to build trust in cybersecurity among your employees

How to flash a Linux ISO image to USB with Popsicle

The key challenges and contradictions that frustrate security professionals

Infographic: Top 5 small business owner worries

How to become a software engineer: A cheat sheet

Why wireless ISPs are still necessary in the age of 5G

Five best word processors for Android

Featured multimedia

Encryption: A guide for business leaders (free PDF)

Encryption is an essential tool for protecting data—but the technology can be bit confusing. This ebook explains what encryption is, how it works, and why it’s so important.

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A special feature from ZDNet and TechRepublic

Managing AI and ML in the enterprise

The AI and ML deployments are well underway, but for CXOs the biggest issue will be managing these initiatives, and figuring out where the data science team fits in and what algorithms to buy versus build.

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